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Inductive Bias

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Showing 201–250 of 1529 papers

TitleStatusHype
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint GenerationCode1
Disentanglement with Factor Quantized Variational AutoencodersCode0
Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases—0
Longitudinal Segmentation of MS Lesions via Temporal Difference WeightingCode2
Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues—0
Learning Generalized Hamiltonians using fully Symplectic Mappings—0
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational PathologyCode2
Neural Message Passing Induced by Energy-Constrained DiffusionCode3
Redesigning graph filter-based GNNs to relax the homophily assumptionCode0
VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis—0
Differentiable programming across the PDE and Machine Learning barrier—0
Symmetry constrained neural networks for detection and localization of damage in metal plates—0
Adversarial Attacks on Data AttributionCode0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG—0
MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling—0
UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching—0
On the Design Space Between Transformers and Recursive Neural Nets—0
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse ObservationsCode1
Maelstrom Networks—0
The Role of Fibration Symmetries in Geometric Deep Learning—0
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search—0
Can Transformers Do Enumerative Geometry?Code0
Equivariant Reinforcement Learning under Partial Observability—0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
Unsupervised Composable Representations for AudioCode1
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model—0
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
Graph Classification with GNNs: Optimisation, Representation and Inductive BiasCode0
VF-NeRF: Learning Neural Vector Fields for Indoor Scene ReconstructionCode1
EqNIO: Subequivariant Neural Inertial Odometry—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent ImputationCode1
MSG-Chart: Multimodal Scene Graph for ChartQACode0
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality TransferCode0
Block-Operations: Using Modular Routing to Improve Compositional Generalization—0
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks—0
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
The Role of Temporal Hierarchy in Spiking Neural Networks—0
Systematic Reasoning About Relational Domains With Graph Neural NetworksCode0
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language ModelsCode1
DSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks—0
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few DemonstrationsCode1
Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive LearningCode0
Hierarchical Separable Video Transformer for Snapshot Compressive ImagingCode1
PartImageNet++ Dataset: Scaling up Part-based Models for Robust RecognitionCode1
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud RegistrationCode2
Empowering Graph Invariance Learning with Deep Spurious InfomaxCode0
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation—0
HDT: Hierarchical Document Transformer—0
Teaching Transformers Causal Reasoning through Axiomatic Training—0
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